Alternatives and similar repositories for palmprint-feature-extraction-techniques:

Users that are interested in palmprint-feature-extraction-techniques are comparing it to the libraries listed below

• AngeloUNIMI / PalmSeg
  Source code for palmprint segmentation and ROI extraction used in the IEEE TIFS 2019 and IEEE CIVEMSA 2019 papers
  ☆27Updated 3 years ago
• AngeloUNIMI / PalmNet
  Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"
  ☆47Updated 3 years ago
• HuikaiShao / JPFA
  A Joint Pixel and Feature Alignment Framework for Cross-dataset Palmprint Recognition
  ☆15Updated 3 years ago
• basavaraj-hampiholi / Age-Estimation--DEX-in-Pytorch
  Age Estimation: Implementation of DEX paper in Pytorch
  ☆10Updated 5 years ago
• matkowski-voy / Palmprint-Recognition-in-the-Wild
  ☆34Updated 3 months ago
• AngeloUNIMI / FusionNet
  Source code for the 2019 IEEE CIVEMSA paper "Touchless palmprint and finger texture recognition: A Deep Learning fusion approach"
  ☆18Updated 3 years ago
• zeakey / bezier-palm
  Official implementation of "Bezier Palm", a data synthesizing method for palmprint recognition.
  ☆27Updated 10 months ago
• yuanmingqi / UniNet
  Towards More Accurate Iris Recognition Using Deeply Learned Spatially Corresponding Features
  ☆12Updated 4 years ago
• BFLTeam / NTU_Dataset
  Here we share the NTU datasets to all the researchers who are working on biometrics and forensics field.
  ☆12Updated 8 months ago
• jacobzhaoziyuan / AMR-Loss
  [ICME 2022] Official Implementation for "Adaptive Mean-Residue Loss for Robust Facial Age Estimation"
  ☆20Updated 2 years ago
• neverUseThisName / Decorrelated-Adversarial-Learning
  This is an unofficial implementation for the 2019 ICCV paper 'Decorrelated Adversarial Learning for Age-Invariant Face Recognition' from …
  ☆39Updated last year
• KaenChan / ProbFace
  fast probability face embeddings
  ☆40Updated 2 years ago
• Herosan163 / AgeEstimation
  PyTorch Implementation of Mean-Variance Loss for age estimation.
  ☆67Updated 4 years ago
• yubangji123 / Interpret_FR
  ☆23Updated 5 years ago
• RayshenSL / RPG-PALM
  Official release code of RPG-PALM(ICCV2023)
  ☆14Updated last year
• taylover-pei / DBMNet-TIFS
  Dual-Branch Meta-learning Network with Distribution Alignment for Face Anti-spoofing, Transactions on Information Forensics & Security
  ☆11Updated 3 years ago
• bogireddytejareddy / retinaface-pytorch
  Inference Code for RetinaFace with MobileNet Backend in PyTorch
  ☆44Updated 5 years ago
• Imalne / Defocus-and-Motion-Blur-Detection-with-Deep-Contextual-Features
  ☆18Updated 5 years ago
• mnikitin / Learn-Convolutional-Neural-Network-for-Face-Anti-Spoofing
  Implementation of "Learn Convolutional Neural Network for Face Anti-Spoofing" paper
  ☆116Updated 3 years ago
• uh-cbl / FaRE
  Open Source Face Recognition Performance Evaluation Package
  ☆19Updated 5 years ago
• gaobb / DLDL-v2
  [IJCAI 2018] Age Estimation Using Expectation of Label Distribution Learning
  ☆61Updated 3 years ago
• Ontheway361 / pfe-pytorch
  Probabilistic Face Embeddings[2019-ICCV]
  ☆23Updated 4 years ago
• BruceZhanKai / Face-Image-Quality-Assessment
  ☆34Updated 6 years ago
• shashankvkt / dualranking_TIFS_2018
  Dictionary Alignment with Re-ranking for Low Resolution NIR-VIS Face Recognition
  ☆17Updated 6 years ago
• linserSnow / PDSN
  PDSN code for ICCV'2019 paper 《Occlusion Robust Face Recognition based on Mask Learning with Pairwise Differential Siamese Network》
  ☆96Updated 5 years ago
• deepinx / megaface-evaluation
  A Simple Tool to Evaluate Your Models on Megaface Benchmark Implemented in Python and Mxnet
  ☆40Updated 5 years ago
• ivclab / Day_Night_dataset_list
  Collecting a list of dataset with day and night annotations
  ☆43Updated 6 years ago
• Podidiving / lgsc-for-fas-pytorch
  Learning Generalized Spoof Cues for FaceAnti-spoofing reimplementation in pytorch
  ☆37Updated 5 months ago
• whdcumt / BlurDetection
  A Python-Based Blur Detector using Fast Fourier Transforms
  ☆129Updated 6 months ago